MacBook Pro (16-inch, 2021)
Geekbench AI Score
3724
Single Precision Score
15742
Half Precision Score
15550
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 05:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
6567
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6211
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9476
153.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10094
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11207
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70445
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66189
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
99% |
7498
596.5 IPS |
|
|
Object Detection (Q)
|
91% |
7037
562.3 IPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
14619
173.7 IPS |
|
|
Face Detection (Q)
|
100% |
13624
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5853
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49521
381.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
51351
401.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22094
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
118944
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
115024
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4285
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25392
937.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28014
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3359
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3338
57.7 IPS |
